Vehicle collision level identification and alarm method

Abstract

The invention relates to the technical field of vehicle networking, in particular to a vehicle collision level identifying and alarming method. The method comprises the following steps: S1, collectingdata of a current running vehicle; S2, establishing a vehicle collision level identifying method according to the data collected by S1; S3, determining whether a driving accident occurs, and if yes,executing S4; otherwise, returning to a ACRA collision detection module established by S2; S4, determining whether the collision occurs within 5s after the last collision, and if yes, executing S5; otherwise, determining the collision level; S5, determining whether the collision level is higher than the last collision level, and if yes, determining the collision level; otherwise, filtering the collision event; and S6, performing different rescues according to the collision level. According to the vehicle collision level identifying and alarming method, the technical defect of low accuracy of vehicle collision warning and failure to provide effective rescue measures is overcame. The invention provides the vehicle collision level identifying and alarming method.

Description

technical field [0001] The invention relates to the technical field of Internet of Vehicles, in particular to a level identification and alarm method for vehicle collisions. Background technique [0002] In the Vehicular Ad-hoc Network (VANET), high-speed moving vehicles share traffic information in real time through a wireless self-organizing network to improve driving safety. With the continuous increase of the number of motor vehicles, traffic accidents frequently occur, which seriously threaten the safety of people's lives and properties. How to ensure the safety of every vehicle driving on the road and reduce the incidence of automobile traffic accidents has become a serious global social problem. [0003] Existing collision detection and early warning methods for vehicle collisions are mainly based on sensors, radar and video solutions, but the existing solutions are difficult to judge the collision and give an alarm, and cannot improve the overall safety level at the...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the technical defects of the above-mentioned vehicle collision detection and early warning technology in the prior art, such as low accuracy of vehicle collision judgment and inadequate rescue measures, a method for vehicle collision level recognition and alarm is provided.

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